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Statistical and Dempster-Shafer techniques in testing structural integrity of aerospace structures

Roberto A. Osegueda, Seetharami R. Seelam, Bharat Mulupuru, Vladik Kreinovich, Tribikram Kundu
2003 Smart Nondestructive Evaluation and Health Monitoring of Structural and Biological Systems II  
doi:10.1117/12.483959 fatcat:3ckbg2ckl5gpjdmh42dht3zpri

Statistical and Dempster-Shafer Techniques in Testing Structural Integrity of Aerospace Structures

R Osegueda
2001 International Journal of Uncertainty Fuzziness and Knowledge-Based Systems  
Holguin, Vladik Kreinovich, Chin-Wang Tao, and Hung T. Nguyen This article is available at DigitalCommons@UTEP: https://digitalcommons.utep.edu/cs_techrep/496  ... 
doi:10.1016/s0218-4885(01)00120-4 fatcat:kekonfncxjhtvjefn3wypsmngm

STATISTICAL AND DEMPSTER-SHAFER TECHNIQUES IN TESTING STRUCTURAL INTEGRITY OF AEROSPACE STRUCTURES

ROBERTO A. OSEGUEDA, SEETHARAMI R. SEELAM, ANA C. HOLGUIN, VLADIK KREINOVICH, CHIN-WANG TAO, HUNG T. NGUYEN
2001 International Journal of Uncertainty Fuzziness and Knowledge-Based Systems  
Holguin, Vladik Kreinovich, Chin-Wang Tao, and Hung T. Nguyen This article is available at DigitalCommons@UTEP: https://digitalcommons.utep.edu/cs_techrep/496  ... 
doi:10.1142/s0218488501001204 fatcat:d3kyb3sawvettnltyw2zkl2gdq

Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion

Bengisu Yilmaz, Abdoulaye Ba, Elena Jasiuniene, Huu-Kien Bui, Gérard Berthiau
2020 Sensors  
The obtained feature matrices have been used as the source in basic (average, difference, weighted average, Hadamard product) and statistical (DempsterShafer rule of combination) data fusion algorithms  ...  This work aims to compare quantitatively different nondestructive testing (NDT) techniques and data fusion features for the evaluation of adhesive bonding quality.  ...  Additionally, adhesive joints preserve the structural integrity and smooth surface of composites compared to mechanical fasteners like rivets-i.e., composite structures-might be damaged via fiber breakage  ... 
doi:10.3390/s20185127 pmid:32911870 pmcid:PMC7571004 fatcat:rognr7ifzrexlgfyx5imytozni

Information fusion in underwater sonar simulation

Yanshen Zhu, Maria Bull, Haluk Akin, Jose Sepulveda, Luis Rabelo
2008 2008 Winter Simulation Conference  
Bayesian Inference and Dempster-Shafer are the two methods that have been studied in detail. In conclusion, the Dempster-Shafer approach was selected as the preferred method.  ...  Also, Dempster-Shafer does not have computational complexity problems when multiple hypotheses and multiple conditional dependent events are examined.  ...  ACKNOWLEDGMENTS This research project, "Simulation Modeling Environment to Measure Sensors Effectiveness Using GIS Information and Sensor Fusion," has been conducted thanks to the funding of the Office  ... 
doi:10.1109/wsc.2008.4736197 dblp:conf/wsc/ZhuBASR08 fatcat:vdpk2a4vmrhrzaly2nvnjgnh74

Automated learning multi-criteria classifiers for FLIR ship imagery classification

Khaled Jabeur, Adel Guitouni
2007 2007 10th International Conference on Information Fusion  
The empirical results of MCC are compared with those obtained by other classifiers (e.g. Bayes and Dempster-Shafer classifiers).  ...  In this paper, we show the benefits of cross-fertilization of multi-criteria classifiers and information fusion algorithms.  ...  four other classifiers (Dempster-Shafer (DS), Modified-Bayes (MB), K-Nearest Neighbours (K-NN) and Neural Net (NN)).  ... 
doi:10.1109/icif.2007.4408172 dblp:conf/fusion/JabeurG07a fatcat:2xwbhieqpbamtcpp7o4yaqtg2i

Towards an integrated reasoner for bearings prognostics

K. Goebel, P. Bonanni, N. Eklund
2005 2005 IEEE Aerospace Conference  
The goal of the reasoner is to arrive at a reliable measure of damage accumulation, quantify its confidence, and aid in the assessment of remaining life.  ...  The reasoning integrates inflight and post-flight functions.  ...  Prognostic Fusion Integrating the capabilities and performance of the individual sensor systems and models through probabilistic weighting tools such as Bayesian and Dempster-Shafer allows the incorporation  ... 
doi:10.1109/aero.2005.1559670 fatcat:axkxsmuktnfetjw2k2ykxqcqqu

The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities

Cordelia Mattuvarkuzhali Ezhilarasu, Zakwan Skaf, Ian K. Jennions
2019 Progress in Aerospace Sciences  
This paper aims to discuss the importance and the necessity of reasoning applications in the field of Aerospace Integrated Vehicle Health Management (IVHM).  ...  The paper discusses the shortcomings found in the IVHM field, particularly in the area of vehicle level health monitoring and how reasoning can be applied to address some of them.  ...  No new data were generated in the course of this study.  ... 
doi:10.1016/j.paerosci.2019.01.001 fatcat:puttw3jolndz5awzq5utyegp3m

POSSIBILITY AND EVIDENCE-BASED RELIABILITY ANALYSIS AND DESIGN OPTIMIZATION

Huang
2013 American Journal of Engineering and Applied Sciences  
If, however, the data is limited and can be quantified in a statistical sense, epistemic uncertainty can be considered as an alternative tool in such a situation.  ...  Aleatory uncertainty arises because of unpredictable variation in the performance and processes of systems, it is irreducible even adding more data or knowledge.  ...  This research was partially supported by the National Science Foundation of China under contract number 50775026.  ... 
doi:10.3844/ajeassp.2013.95.136 fatcat:7v6zcpeevndxzc3bii5uiufs5e

Reliability engineering applications in electronic, software, nuclear and aerospace industries: A 20 year review (2000–2020)

Ahmad Kamal M. Nor, Srinivasa R. Pedapati, Masdi Muhammad
2021 Ain Shams Engineering Journal  
Reliability management in aerospace industry In the aerospace industry, Integrated System Health Management (ISHM) enables rapid problem detection, diagnostic, and prognostic.  ...  To avoid component's infant mortality, burn-in-test and accelerated temperature test are commonly used in the oil and gas and aerospace industry to screen out unsuitable components [33, 41, 42] .  ... 
doi:10.1016/j.asej.2021.02.015 fatcat:eteehfrgsrbpdlx3vloyz2h6i4

Prognostics of automotive electronics with data driven approach: A review

Mominul Ahsan, Stoyan Stoyanov, Chris Bailey
2016 2016 39th International Spring Seminar on Electronics Technology (ISSE)  
The emerging concept of PHM is increasingly considered for adoption in many engineering fields such as automotive, mechanical, electrical, industrial, aerospace and railway.  ...  Based on the undertaken review of state-of-art in this area, key requirements and attributes of prognostic frameworks for automotive electronics are formulated and future prognostics challenges for the  ...  Statistical and machine learning techniques are used typically to detect the changes of component performance and degradation.  ... 
doi:10.1109/isse.2016.7563205 fatcat:b2bdxwcnmrcgrcyinmp53bd63y

Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications

Vladik Kreinovich, Jan Beck, Carlos Ferregut, Araceli Sanchez, G. Randy Keller, Matthew Averill, Scott A. Starks
2006 Reliable Computing  
Traditionally, in engineering, statistical methods are used, methods assuming that we know the probability distribution of different uncertain parameters.  ...  Usually, we can safely linearize the dependence of the desired quantities y (e.g., stress at different structural points) on the uncertain parameters x i -thus enabling sensitivity analysis.  ...  Acknowledgements This work was supported in part by NASA under cooperative agreement NCC5-209, by the Future Aerospace Science and Technology Program (FAST) Center for Structural Integrity of Aerospace  ... 
doi:10.1007/s11155-006-9021-6 fatcat:nxteur6idvhvjb6nefywex3zha

Flood Extent Mapping from Time-Series SAR Images Based on Texture Analysis and Data Fusion

Moslem Ouled Sghaier, Imen Hammami, Samuel Foucher, Richard Lepage
2018 Remote Sensing  
Champlain floods, Quebec, Canada in 2011; (2) Evros River floods, Greece in 2014 and (3) Western and southwestern of Iran floods in 2016.  ...  Nowadays, satellite images are considered as one of the most relevant sources of information in the context of major disasters management.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10020237 fatcat:xkrmvotx3zaibnlphpfddonwjy

Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics

Gerhard Krieger, Ingo Rentschler, Gert Hauske, Kerstin Schill, Christoph Zetzsche
2000 Spatial Vision  
Saccadic eye movements of human observers are recorded for a variety of natural and arti cial test images. These experimental data are used for a statistical evaluation of the xated image regions.  ...  By contrast, an investigation with higher-order statistics, as re ected in the bispectral density, yielded clear structural differences between the image regions selected by saccadic eye movements as opposed  ...  Acknowledgement A report of a pilot study can be found in Michela (1993) . The main results have rst been presented on the Conf. Adaptive Behavior, Zürich, 17-21 August 1998.  ... 
doi:10.1163/156856800741216 pmid:11198232 fatcat:tdw2rvehdfgc5ido3rg2t3c2mu

Uncertainty modeling and analysis with intervals: Foundations, tools, applications (Dagstuhl Seminar 11371)

Isaac E. Elishakoff, Vladik Kreinovich, Wolfram Luther, Evgenija D. Popova, Marc Herbstritt
2011 Dagstuhl Reports  
The major emphasis of the seminar lies on modeling and analyzing uncertainties and propagating them through application systems by using, for example, interval arithmetic.  ...  This report documents the program and the results of Dagstuhl Seminar 11371 "Uncertainty modeling and analysis with intervals -Foundations, tools, applications", taking place September 11-16, 2011.  ...  Thanks go to Martin Fuchs for his help in collecting abstracts of the talks and other related materials for these proceedings.  ... 
doi:10.4230/dagrep.1.9.26 dblp:journals/dagstuhl-reports/ElishakoffKLP11 fatcat:7e3wkeju6zhfdcy6n7o2kdz7py
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